This document looks at residential displacement data from the 2019 and 2021 travel surveys.
What share of households experienced residential displacement in 2019 and 2021?
To lookup variable names the codebook is here: J:\Data\Combined_Codebook_2021_With_Weights.xlsx
We will use the psrc.travesurvey package, documentation is here: https://psrc.github.io/psrc.travelsurvey/articles/calculate_hhts_summaries.html
Code is here: https://github.com/psrc/psrc.travelsurvey
3,044 households answered res_dur in 2019 2, 793 household answered res_dur in 2021
There may have been more movers in 2021 in the past year as compared to
2019.
Let’s analyze 2019 movers in the past 5 years for residential displacement (by itself first). Look at 1. prev_res_factors, 2. res_factors 3. by income, 4. by race and ethnicity;
this is 987 households. In the past five years for movers in WA, 29%
of households had experienced displacement related reasons for moving.
In 2019, there was a strong correlation between income and experiencing displacement. 55% of hhs with incomes of less than $25K experienced displacement. 13% of households with incomes over 200K
39% of African American hhs, 36% of other hhs experienced displacement, at higher rates than White Only, Hispanic, and Asian HHs
Both datasets in the past 5 years (there is overlap in the time
frame); no statistically significant difference (987 hhs in 2019, 860 in
2021)
Both datasets in the past 2 years NO overlap; 361 hhs in 2019; 298
hhs in 2021; 42% of hhs to 28%
Both datasets in the past 1 year (“Less than a year”). Limiting it to
within one year of the survey means that there is no overlap between the
samples and we are looking at the households that moved before COVID
(spring/summer 2018-2019) and during COVID (spring/summer
2020-2021).
Both datasets in the past 1 year by race. The sample sizes by race and year are very small:
Both datasets in the past 1 year by income. The sample sizes by race and year are very small:
Both data sets in the past 1 year by final home address location
within or outside of a regional growth center. The moes are overlapping,
but before COVID (2019 survey), people who moved within the past year
moved to a location not in an RGC. After COVID (2021), there were more
households who moved to areas within an RGC.
The RGS are categorized as urban or metro
Metro: Bellevue, Bremerton, Everett, Redmond Downtown,
Seattle Downtown, Seattle First Hill/Capitol Hill, Seattle Northgate,
Seattle South Lake Union, Seattle University Community, Seattle Uptown,
Tacoma Downtown
Urban : Bothell Canyon Park, Issaquah, Kirkland Totem
Lake, Lynnwood, Puyallup Downtown, Puyallup South Hill
It’s difficult to interpret because of the large moes and the multiple dimensions. Some major conclusions could be:
It’s difficult to interpret because of the large moes and the multiple dimensions. Some major conclusions could be:
The majority of people who experienced displacement in both years
were renters prior to moving.
At the time of the survey, more respondents were renters than owners.
The difference is more distinct for 2021 respondents.
Large, overlapping moes.
Large, overlapping moes.
It’s difficult to interpret because of the large moes. Households
with 1 or 2 vehicles were more likely to move, both in 2019 and 2021.
Both datasets in the past 1 year (“Less than a year”). Limiting it to
within one year of the survey means that there is no overlap between the
samples and we are looking at the households that moved before COVID
(spring/summer 2018-2019) and during COVID (spring/summer 2020-2021)
and selected a reason that indicated they were displaced.
Both datasets in the past 1 year by race. The sample sizes by race and year are very small:
Both datasets in the past 1 year by income. The sample sizes by race and year are very small:
Both data sets in the past 1 year by final home address location
within or outside of a regional growth center. THe moes are large and
overlapping.
The RGS are categorized as urban or metro
Metro: Bellevue, Bremerton, Everett, Redmond Downtown,
Seattle Downtown, Seattle First Hill/Capitol Hill, Seattle Northgate,
Seattle South Lake Union, Seattle University Community, Seattle Uptown,
Tacoma Downtown
Urban : Bothell Canyon Park, Issaquah, Kirkland Totem
Lake, Lynnwood, Puyallup Downtown, Puyallup South Hill
It’s difficult to interpret because of the large moes. It appears
that 1-person households were more likely to report moving because of
displacement in 2021 (after COVID), than in 2019. Households with 2
people seem similar, but those with 3 or more peole experienced
displacement at higher rates in 2019.
It’s difficult to interpret because of the large moes and the multiple dimensions. Some major conclusions could be:
The majority of people who experienced displacement in both years
were renters prior to moving.
The majority of people who experienced displacement were renters at
the time of the survey. Any changes between before and after covid are
difficult to confirm because of the large, overlapping moes.
Large, overlapping moes.
Large, overlapping moes.
It’s difficult to interpret because of the large moes and the multiple dimensions. One major conclusions could be:
This is different from general movers sample where 2-vehicle
households were close to the share of 1-vehicle households. Among
displaced movers, there are similar shares of 0-vehicle households and
2-vehicle households.
This analysis will focus on race among survey respondents, movers, and displaced movers.
Showing displacement by time period. this part is a little tricky; i
think I need someone to check me.
Why did you move to current residence
redefining